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cs.AI2025
Evaluating the Goal-Directedness of Large Language Models
Tom Everitt, Cristina Garbacea, Alexis Bellot +4
To what extent do LLMs use their capabilities towards their given goal? We take this as a measure of their goal-directedness. We evaluate goal-directedness on tasks that require in…
cs.AI2025
Mapping AI Benchmark Data to Quantitative Risk Estimates Through Expert Elicitation
Malcolm Murray, Henry Papadatos, Otter Quarks +2
The literature and multiple experts point to many potential risks from large language models (LLMs), but there are still very few direct measurements of the actual harms posed. AI…
cs.AI2025
A Frontier AI Risk Management Framework: Bridging the Gap Between Current AI Practices and Established Risk Management
Simeon Campos, Henry Papadatos, Fabien Roger +3
The recent development of powerful AI systems has highlighted the need for robust risk management frameworks in the AI industry. Although companies have begun to implement safety f…